Business Intelligence Engineer, AWS Analytics and Data Solutions (ADS)

Amazon - Herndon, VA

Full-time - Entry Level

Herndon, VA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Business Intelligence Engineer (BIE) role within AWS Analytics and Data Solutions (ADS) focuses on leveraging analytical skills and business acumen to drive data-driven decision-making across AWS Infrastructure Services. The BIE will gather customer insights, analyze large datasets, and create visualizations and reporting tools to support business partners and senior leaders in making informed decisions. This position requires a self-starter who thrives in a fast-paced environment and is passionate about data analysis and business performance metrics.

Responsibilities

• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
• Be hands-on with ETL to build data pipeline to support automated reporting.
• Serve as liaison between the business and technical teams to provide actionable insights into current business performance and ad hoc analyses for future improvements.
• Build various data visualizations to illustrate business trends, patterns, and outliers.
• Recognize and adopt best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation.

Requirements

• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.

Nice-to-haves

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
• Experience in Statistical Analysis packages such as R, SAS and Matlab.

Benefits

• Flexible work culture that promotes work-life harmony.
• Mentorship and career growth opportunities.
• Diverse and inclusive workplace culture.